A Methodology for Assembling Future Weather Files Including Heatwaves for Building Thermal Simulations from the European Coordinated Regional Downscaling Experiment (EURO-CORDEX) Climate Data

Machard, Anaïs; Inard, Christian; Alessandrini, Jean-Marie; Pelé, Charles; Ribéron, Jacques

doi:10.3390/en13133424

Cited by 56 publications

(21 citation statements)

References 72 publications

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“…Generation of future weather files Typical Meteorological Years (TMYs) weather files representative of contemporary and future periods for London are generated based on the methodology provided by A. Machard et al (2020). The methodology uses opensource dynamically downscaled regional climate multiyear projections from the European Coordinated Regional Downscaling Experiment (EURO-CORDEX) and the EN ISO 15927-4:2005 for assembling the TMY from 20-year long hourly climate data.…”

Section: Methodsmentioning

confidence: 99%

“…This is crucial to avoid overestimations or underestimations of the impact depending on the location of the building across a city. Different methodologies have been proposed to generate future weather files for building performance simulations, based on statistical or dynamic downscaling of global climate models projections (Herrera et al, 2017;Machard et al, 2020;Troup et al, 2019). Also, many urban climate models and coupling methodologies have been developed to include urban microclimate in dynamic thermal simulations (Lauzet et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Generating future-urban weather files for building performance simulations: case studies in London

Salvati¹,

Kolokotroni²

2021

Building Simulation Conference Proceedings

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Many methods to generate future weather files to run building performance simulations have been proposed. However, future weather files do not account for local urban climate modifications, such as urban heat island and may not be representative of urban buildings' climate conditions. This study describes a methodology to include urban effects in future weather files using multiple tools: the EURO-CORDEX regional climate model data, Urban Weather Generator, the URBVENT canyon wind models and EnergyPlus. Residential buildings located in different areas of London are used to test the methodology. The results confirm the significant impact of urban context on future-urban climate conditions and urban building thermal response. Key Innovations• A method to include site-specific urban climate effects in future weather files for use in building performance simulations• Simulating the performance of different building conditions under future scenarios, considering changes in types, location across a city (i.e. urban geometry) and floors Practical ImplicationsConsidering site-specific urban heat island, wind speed reduction and solar access is crucial for a correct assessment of building thermal response to climate change. Including urban climate boundary conditions determines significant variations on indoor operative temperatures under future climate scenarios

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Generating future-urban weather files for building performance simulations: case studies in London

Salvati¹,

Kolokotroni²

2021

Building Simulation Conference Proceedings

View full text Add to dashboard Cite

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“…These require knowledge of future climate behavior and a coordinated method for extracting and processing climate data. Regarding the future climate, Global Climate Models (GCM) coupled with Regional Climate Models (RCM) can be viewed as a precious information source that can provide data allowing the evaluation of the future risk in a particular site [21,22]. In this paper, a practical methodology to assist the developers of SECAPs in identifying the future development of hazards, as requested by the completion of the CoM template, is introduced.…”

Section: The Com Templatementioning

confidence: 99%

Section: The Com Templatementioning

confidence: 99%

Climate Change Risk and Vulnerabilities Analysis in Trieste SECAP

et al. 2022

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Climate change is affecting more and more local communities, which are now facing different hazards; in answer to this threat, specific actions at the local level should be taken. The Covenant of Mayors (CoM) is an initiative that tries to involve municipalities and communities in developing SECAPs, i.e., plans for sustainable energy and climate with the aim to develop adaptation and mitigation measures. In order to identify and evaluate hazards, the CoM developed a template relative to the current risk level and expected changes in the future. This paper develops a methodology to fill the template using a data driven approach instead of a heuristic one. The methodology was applied to the city of Trieste in northeast Italy and uses local weather station data and projections obtained from GCM-RCM models. Data were manipulated using different approaches for current risk levels and the Mann–Kendall test is proposed as a method to identify the future evolution of hazard intensity and frequency. The results showed that the developed approach could help municipalities in developing their SECAPs and in identifying the present and future evolution of hazards.

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“…Concerning the outside boundary condition, the climate of Paris is considered with its evolution for the next 30 years according to climate change, starting from 2041. The weather file generation methodology is presented in [58]. The outside temperature is presented in Figure 15(a).…”

Section: Descriptionmentioning

confidence: 99%

Assessing the wall energy efficiency design under climate change using POD reduced order model

Berger,

Allery,

Machard

2022

Preprint

Self Cite

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Within the environmental context, numerical modeling is a promising approach to assess the energy efficiency of building. Resilient buildings need to be designed, capable of adapting to future extreme heat. Simulations are required assuming a one-dimensional heat transfer problem through walls and a simulation horizon of several years (nearly 30). The computational cost associated with such modeling is quite significant and model reduction methods are worth investigating. The objective is to propose a reliable reduced-order model for such long-term simulations. For this, an alternative model reduction approach is investigated, assuming a known Proper Orthogonal Decomposition reduced basis for time, and not for space as usually. The model enables computing parametric solutions using basis interpolation on the tangent space of the Grassmann manifold. Three study cases are considered to verify the efficiency of the reduced-order model. Results highlight that the model has a satisfying accuracy of 10 −3 compared to reference solutions. The last case study focuses on the wall energy efficiency design under climate change according to a four-dimensional parameter space. The latter is composed of the load material emissivity, heat capacity, thermal conductivity and thickness insulation layer. Simulations are carried over 30 years considering climate change. The solution minimizing the wall work rate is determined with a computational ratio of 0.1% compared to standard approaches.

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A Methodology for Assembling Future Weather Files Including Heatwaves for Building Thermal Simulations from the European Coordinated Regional Downscaling Experiment (EURO-CORDEX) Climate Data

Cited by 56 publications

References 72 publications

Generating future-urban weather files for building performance simulations: case studies in London

Generating future-urban weather files for building performance simulations: case studies in London

Climate Change Risk and Vulnerabilities Analysis in Trieste SECAP

Assessing the wall energy efficiency design under climate change using POD reduced order model

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